Scale AI is a data platform that accelerates the development of AI applications by providing high-quality training data and tools for machine learning teams.
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https://scale.com/
Scale AI

Product Information

Updated:Jan 16, 2025

Scale AI Monthly Traffic Trends

Scale AI experienced a 0.1% decline in traffic, with 367 fewer visits in the latest month. Without any significant product updates or notable market activities, this slight decline could be attributed to normal market fluctuations or seasonal variations.

View history traffic

What is Scale AI

Scale AI is a San Francisco-based company founded in 2016 that provides data labeling and AI development services. Its mission is to accelerate the development of artificial intelligence applications across industries. Scale AI offers a comprehensive suite of tools and services, including data annotation, curation, and evaluation, as well as platforms for generative AI and government applications. The company works with leading technology firms, enterprises, and government agencies to power AI initiatives in areas like autonomous vehicles, natural language processing, computer vision, and more.

Key Features of Scale AI

Scale AI is a comprehensive AI infrastructure platform that provides high-quality training data, data labeling, and AI model development tools. It offers end-to-end solutions for the entire machine learning lifecycle, including data curation, model fine-tuning, evaluation, and deployment. Scale AI specializes in generative AI, computer vision, natural language processing, and autonomous systems, serving various industries from tech giants to government agencies.
Data Engine: Provides tools for data collection, curation, and annotation to improve AI model performance
Generative AI Platform: Enables customization of foundation models using enterprise data for specific business applications
RLHF (Reinforcement Learning from Human Feedback): Powers advanced language models through high-quality human feedback and fine-tuning
Model Evaluation: Offers tools to assess and compare AI model performance, ensuring quality and safety
Pre-built AI Applications: Provides ready-to-use AI solutions for specific use cases like decision support in defense

Use Cases of Scale AI

Autonomous Vehicles: Powering self-driving car development with high-quality labeled data for computer vision and sensor fusion
Natural Language Processing: Enhancing chatbots and language models through data labeling and RLHF for improved human-like responses
Government and Defense: Supporting AI-powered decision-making and intelligence analysis for federal agencies
E-commerce: Improving product categorization, search, and recommendations using AI-powered image and text analysis
Robotics: Enabling advanced perception and manipulation capabilities for industrial and consumer robots

Pros

Comprehensive end-to-end AI development platform
High-quality data labeling combining AI and human intelligence
Partnerships with leading AI companies and government agencies

Cons

May be complex for smaller organizations or those new to AI
Potential dependency on Scale AI's ecosystem for AI development

How to Use Scale AI

Sign up for Scale AI: Visit scale.com and create an account to access Scale's AI services and platform.
Choose a product or service: Select from Scale's offerings like Data Engine, GenAI Platform, or Donovan based on your AI needs.
Upload your data: Use Scale's Data Engine to upload and integrate your enterprise data for AI model training and fine-tuning.
Label and curate data: Utilize Scale's data labeling and curation tools to prepare high-quality training data for your AI models.
Select or customize AI models: Choose from Scale's partner foundation models or customize models to your specific use case and data.
Fine-tune models: Use Scale's fine-tuning and RLHF capabilities to adapt models to your business needs and data.
Build AI applications: Leverage Scale's pre-built applications or build custom AI apps using the GenAI Platform.
Evaluate and monitor models: Use Scale's evaluation tools to assess model performance and monitor for issues like model decay.
Deploy models: Deploy your customized and fine-tuned AI models into production environments.
Iterate and improve: Continuously improve your AI models and applications using Scale's full suite of tools and services.

Scale AI FAQs

Scale AI is headquartered in San Francisco, California, United States.

Analytics of Scale AI Website

Scale AI Traffic & Rankings
376.2K
Monthly Visits
#146411
Global Rank
#1607
Category Rank
Traffic Trends: May 2024-Dec 2024
Scale AI User Insights
00:01:25
Avg. Visit Duration
2.21
Pages Per Visit
55.57%
User Bounce Rate
Top Regions of Scale AI
  1. US: 39.57%

  2. IN: 5.97%

  3. CA: 4.6%

  4. GB: 3.46%

  5. MX: 2.83%

  6. Others: 43.56%

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